{"id":"https://openalex.org/W4390322057","doi":"https://doi.org/10.1145/3617184.3630145","title":"Cross-Level Network Security Element Fusion Extraction Method Based on Deep Learning","display_name":"Cross-Level Network Security Element Fusion Extraction Method Based on Deep Learning","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4390322057","doi":"https://doi.org/10.1145/3617184.3630145"},"language":"en","primary_location":{"id":"doi:10.1145/3617184.3630145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617184.3630145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028520338","display_name":"Jianping Zhao","orcid":"https://orcid.org/0000-0003-0824-538X"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianping Zhao","raw_affiliation_strings":["Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0824-538X","affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047123961","display_name":"Huan Wang","orcid":"https://orcid.org/0000-0002-9688-6242"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Wang","raw_affiliation_strings":["Guangxi University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-9688-6242","affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773308","display_name":"Yichuan Wang","orcid":"https://orcid.org/0000-0001-6575-1954"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Wang","raw_affiliation_strings":["Guangxi University of Science and Technology, China","Xi'an University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6575-1954","affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, China","institution_ids":["https://openalex.org/I18570673"]},{"raw_affiliation_string":"Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731469","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-8566-1558"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["Changchun University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8566-1558","affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078869639","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5575-1210"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Guangxi University of Science and Technology, China","Xi'an University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5575-1210","affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, China","institution_ids":["https://openalex.org/I18570673"]},{"raw_affiliation_string":"Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028520338"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.3935,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64353723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"247","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894058585166931},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.5111997723579407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49900221824645996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4675537347793579},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45104336738586426},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4501601457595825},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.42320916056632996},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.41331666707992554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3799425959587097},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16702330112457275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894058585166931},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.5111997723579407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49900221824645996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4675537347793579},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45104336738586426},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4501601457595825},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.42320916056632996},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.41331666707992554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3799425959587097},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16702330112457275},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617184.3630145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617184.3630145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2365980664","https://openalex.org/W2969863169","https://openalex.org/W3118600567","https://openalex.org/W3143258789","https://openalex.org/W3164321464","https://openalex.org/W3164999323","https://openalex.org/W3170348203","https://openalex.org/W3182788757","https://openalex.org/W3200780444","https://openalex.org/W4212986808","https://openalex.org/W4225665630","https://openalex.org/W4229046377","https://openalex.org/W4237748856","https://openalex.org/W4290996887","https://openalex.org/W4307911024","https://openalex.org/W4319264752"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W4296209631","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062"],"abstract_inverted_index":{"Element":[0],"extraction":[1,20,52,137],"of":[2,75,121,156,168],"Network":[3,10,123],"Security":[4,11,124],"Situation":[5,12],"is":[6],"the":[7,73,122,130,166],"foundation":[8],"for":[9,16,90,160],"awareness.":[13,42,172],"Traditional":[14],"methods":[15],"network":[17,48,92,112,133,146,161,169],"security":[18,49,93,113,134,147,170],"element":[19,31,50,66,94,114,135],"struggle":[21],"with":[22],"efficiently":[23],"processing":[24],"large-scale":[25,76],"data":[26,61,70,78],"and":[27,103,150],"establishing":[28],"effective":[29],"cross-level":[30,47,91,111,132],"associations,":[32],"leading":[33],"to":[34,86,158],"a":[35,46,60,88,110,152],"higher":[36],"false":[37],"alarm":[38],"rate":[39,155],"in":[40],"situation":[41,171],"This":[43],"paper":[44],"proposes":[45],"fusion":[51,95,115,136,148],"method":[53,63,89,138],"based":[54,64],"on":[55,65],"deep":[56],"learning.":[57],"Firstly,":[58],"through":[59],"preprocessing":[62],"correlation,":[67],"we":[68,81,108],"reduce":[69],"dimensionality,":[71],"addressing":[72],"challenge":[74],"nonlinear":[77],"processing.":[79],"Secondly,":[80],"employ":[82],"principal":[83],"component":[84],"analysis":[85],"construct":[87],"extraction.":[96],"Moreover,":[97],"by":[98],"integrating":[99],"convolutional":[100],"neural":[101],"networks":[102],"long":[104],"short-term":[105],"memory":[106],"networks,":[107],"establish":[109],"classification":[116],"model,":[117],"achieving":[118],"precise":[119],"perception":[120],"Situation.":[125],"Experimental":[126],"results":[127],"indicate":[128],"that":[129],"proposed":[131],"effectively":[139],"reduces":[140],"dataset":[141],"dimensions,":[142],"extracts":[143],"32-dimensional":[144],"crucial":[145],"elements,":[149],"achieves":[151],"detection":[153],"accuracy":[154],"up":[157],"99.99%":[159],"attack":[162],"behaviors,":[163],"significantly":[164],"enhancing":[165],"capability":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}